STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

“…This article contributes to the expanding literature by developing a data-driven, artificial intelligence (AI)-based solution for forecasting sea ice concentration in the Arctic. Specifically, we introduced STEPNet—a spatial and temporal encoding pipeline capable of handling the temporal heterogeneity of multivariate sea ice drivers, including various climate and environmental factors with varying impacts on sea ice concentration changes. …”
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Study approaches mediate associations between learning environment and academic performance by Tore Bonsaksen, Amayra Tannoubi, Linda Stigen, Astrid Gramstad, Tove Carstensen, Gry Mørk

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Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming by K. Nordling, K. Nordling, N. L. S. Fahrenbach, B. H. Samset

“…Changes in the widths and shapes of precipitation distributions are especially dominating over mean changes in Asia, the Arctic and sub-Saharan Africa. In contrast, temperature changes are primarily driven by changes in the mean state. …”
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades by Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Wei Li, Xinxin Liu, Liangpei Zhang

“…We believe that the STFLNDVI product will be of great significance in characterizing the spatial patterns and long-term variations of global vegetation and the historical radiometric calibrations in AVHRR data gaps around the Arctic and instrument differences between MODIS and AVHRR should be further considered in the future.…”
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Projected Thermally Driven Elderly Mortality for Beijing Under Greenhouse Gas and Stratospheric Aerosol Geoengineering Scenarios by Jun Wang, Liyun Zhao, John C. Moore

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Educational Migration in Russian Regions: Statistical Approach by E. A. Pitukhin, O. A. Zyateva, L. V. Shchegoleva, V. E. Sokolov

“…Three territorially different educational centers of gravity were identified: “Metropolitan”, “Southern” and “Siberian”, which include 27 regions of Russia from the two best clusters by the indicator of educational migration. The regions of the Arctic zone of the Northwestern Federal District and the Far East enjoy the least educational popularity. …”
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Rapid Emulation of Spatially Resolved Temperature Response to Effective Radiative Forcing by Christopher B. Womack, Paolo Giani, Sebastian D. Eastham, Noelle E. Selin

“…These errors are likely driven by state‐dependent climate feedbacks, such as the non‐linear effects of Arctic sea ice melt. We additionally show an illustrative example of our emulator for policy evaluation and impact analysis, emulating spatially resolved temperature change for a 1,000 member scenario ensemble in less than a second.…”
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Development of the test kit for detection of SARS-CoV-2 antibodies in sera of susceptible animals by M. A. Volkova, N. G. Zinyakov, P. S. Yaroslavtseva, I. A. Chvala, T. S. Galkina, D. B. Andreychuk

“…The reaction conditions were optimized, and a positive-negative threshold was established by testing of 154 negative sera from animals of six species (ferrets, minks, foxes, arctic foxes, cats and dogs). The method reproducibility analysis showed that the average value of the variation coefficient did not exceed 7%, which is an acceptable value. …”
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Influence of breed and environment on leukocyte telomere length in cattle by N. S. Yudin, A. V. Igoshin, G. A. Romashov, A. A. Martynov, D. M. Larkin

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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…For the feature selection process, the arctic tern optimization (ATO) technique is employed to decrease the data dimensionality while conserving the most relevant attributes. …”
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Climate change heterogeneity: A new quantitative approach. by María Dolores Gadea Rivas, Jesús Gonzalo

“…Overall, although both the Globe and Spain suffer an equivalent warming process in the median (mean) temperature, Spain's warming dominates the Globe in the upper quantiles and is dominated in the lower tail of the global temperature distribution that corresponds to the Arctic region. Our climate change heterogeneity results open the door to the need for a non-uniform causal-effect climate analysis that goes beyond the standard causality in mean and for a more efficient design of the mitigation-adaptation policies. …”
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Interferometric Study of Ionospheric Plasma Irregularities in Regions of Phase Scintillations and HF Backscatter by Andres Spicher, James LaBelle, John W. Bonnell, Roger Roglans, Chrystal Moser, Stephen A. Fuselier, Scott Bounds, Lasse B. N. Clausen, Francesca Di Mare, Connor A. Feltman, Yaqi Jin, Craig Kletzing, Wojciech J. Miloch, Jøran I. Moen, Kjellmar Oksavik, Rhyan Sawyer, Toru Takahashi, Tim K. Yeoman

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Impacts of Sea Surface Temperature and Atmospheric Teleconnection Patterns in the Northern Mid-Latitudes on Winter Extremely Cold Events in North China by Liping Li, Wenjie Ni, Yige Li, Dong Guo, Hui Gao

“…This trend abrupt change occurs in late winter. (2) When the SST in the North Pacific shows an “El-Niño-like” anomaly in winter, it triggers the negative Arctic Oscillation (−AO), positive Pacific North America (+PNA), and positive Eurasia Pacific (+EUP) atmospheric teleconnection patterns in the mid-lower troposphere. …”
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Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks by Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang

“…Here, we show that the large-scale atmospheric circulation associated with the warm Arctic was the main event driver, explaining 83 ± 2% of the intensity of the 2023 cold event, whereas the thermodynamic effect of climate change suppressed the event intensity by −6 ± 3% in ERA5 and −22 ± 2% in HadGEM3-A-N216. …”
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Obesity-Induced Methylation of Osteopontin Contributes to Adipogenic Differentiation of Adipose-Derived Mesenchymal Stem Cells by Min Tang, Rui Chen, Hao Wang, Guowei Sun, Fan Yin, Beibei Liang, Yang Yang, Gaowa Sharen, Huafeng Wei, Xuyu Zhou, Gang Huang, Jian Zhao

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NT‐ProBNP and high‐sensitivity troponin T as screening tests for subclinical chronic heart failure in a general population by Maria Averina, Michael Stylidis, Jan Brox, Henrik Schirmer

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Why is it so difficult to understand why we don’t understand human systemic lupus erythematosus? Contemplating facts, conflicts, and impact of “the causality cascade paradigm”... by Ole Petter Rekvig, Ole Petter Rekvig

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Recent advances in nanotechnology for Parkinson’s disease: diagnosis, treatment, and future perspectives by Virendra Kumar Yadav, Seshathiri Dhanasekaran, Nisha Choudhary, Deepak Nathiya, Vishal Thakur, Rachna Gupta, Sheersha Pramanik, Pankaj Kumar, Nishant Gupta, Ashish Patel

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Potential risks of bacterial plant pathogens from thawing permafrost in the Alaskan tundra by Dockyu Kim, Mincheol Kim, Sungho Woo, Sungjin Nam, Nu Ri Myeong, Eungbin Kim, Yung Mi Lee

“…Our findings illustrate that permafrost acts as a reservoir of potential plant pathogens, and their resurgence upon thawing poses a potential risk to Arctic ecosystems.…”
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DC/TMD Examiner Protocol: Longitudinal Evaluation on Interexaminer Reliability by Marit Slåttelid Skeie, Paula Frid, Manal Mustafa, Jörg Aßmus, Annika Rosén

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